Self-serve Feature Engineering Platform Using Flyte and Feast

Self-serve Feature Engineering Platform Using Flyte and Feast

Explore a comprehensive conference talk on building a self-serve feature engineering platform using Flyte and Feast, presented by industry experts Ketan Umare from Union.ai and Felix Wang from Tecton. Gain valuable insights into the integration of these powerful tools to streamline and enhance the feature engineering process for machine learning projects. Learn how to leverage Flyte's workflow orchestration capabilities and Feast's feature store functionality to create a robust, scalable, and efficient platform for data scientists and machine learning engineers.